计划执行与检查节点
executing-plans
按既定实施计划完成工作,保持过程检查和反馈。
install-and-project-setup【效率与协作】Install DeepLabCut, launch the GUI or lite mode, create and inspect projects, and summarize project layouts safely.
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Use this sub-skill when the task is about installation choices, launcher behavior, project creation, adding videos, or safe inspection of a DeepLabCut project.
dlc or python -m deeplabcut opens the GUI or prints the lite noticeconfig.yaml and the project tree without writing filesdata-labeling-and-training-datasetspytorch-training-evaluation-inferencemulti-animal-trackingpostprocessing-3d-video-exportsdlc, which points to deeplabcut.__main__:main.python -m deeplabcut follows the same launch path.PySide6 is missing, it prints the lite notice instead.deeplabcut.cli exposes a click command group for command discovery, but it is not the console entry point.deeplabcut.create_new_project(project, experimenter, videos, working_directory=None, copy_videos=False, video_extensions=None, multianimal=False, individuals=None)deeplabcut.add_new_videos(config, videos, copy_videos=False, coords=None, extract_frames=False)deeplabcut.create_new_project_3d(project, experimenter, num_cameras=2, working_directory=None)references/project-workflows.mdreferences/configuration.mdreferences/troubleshooting.mdscripts/summarize_dlc_project.pyStop at project setup and inspection. Do not continue into frame extraction, labeling, training, tracking, filtering, or 3D calibration beyond what is needed to create or summarize the project skeleton.